CloudX marked its eighth anniversary with two major milestones designed to accelerate AI accessibility for businesses of all sizes: the launch of its AI Lab Model, a new framework for rapid AI adoption, and the achievement of a 100% AI-certified workforce spanning more than 300 employees.
The company, which maintains a client satisfaction score (NPS) of 91, has spent the past eight years helping enterprises—from Fortune 500s to global consultancies—move from high-level AI strategy to measurable, production-grade outcomes. Its latest initiatives are aimed at bringing those capabilities to the mid-market, where AI maturity often lags despite strong demand and competitive pressure.
Democratizing Enterprise-Grade AI
CloudX CEO Nahuel Vigna says the company’s mission for the next decade is clear: eliminate the widening gap between large enterprises that can afford advanced AI systems and mid-cap companies that struggle to adopt them.
“Access to world-class AI should not be a privilege reserved for the few,” said Vigna. “Our mission for the coming years is to democratize AI, offering the same high-quality service to mid-sized companies that we provide to the world’s largest enterprises.”
A key enabler of that mission has been CloudX’s continued investment in research and development. Rather than waiting for commercial frameworks and tooling to mature, CloudX integrates newly released AI capabilities—often within days of their debut—into live builds and proofs of concept for clients.
For a services firm, it’s an uncommon stance: treating R&D as a live operational function rather than a background activity.
A Proven Track Record of Transformative Outcomes
CloudX’s clients commonly begin with a narrow AI initiative and expand into long-term, co-development partnerships. Clients bring domain expertise; CloudX supplies the engineering, systems design, and applied AI depth.
One global professional services firm partnered with CloudX to build an AI agent capable of extracting financial information from up to 7,000 annual reports each year, reducing review time by roughly 3,100 hours—nearly 78 workweeks reclaimed annually.
These kinds of results, CloudX argues, are especially meaningful for mid-caps, which often have smaller teams and more constrained resources than their enterprise peers.
Introducing the AI Lab Model: “R&D as a Service”
CloudX’s new AI Lab Model is an agile, structured approach designed to rapidly validate and harden AI and Generative AI use cases. In contrast to large-consultancy frameworks that can take months before delivering a working prototype, the AI Lab Model focuses on fast execution, tightly defined scope, and predictable pricing.
The model operates as R&D as a Service, offering fixed-price, fixed-duration Proofs of Concept (PoCs) across four standardized levels:
- XSmall: 2-week PoCs, ideal for single-domain automations or lightweight agent prototypes
- Small: 4-week PoCs, covering moderate-complexity use cases
- Medium: 6-week PoCs, used for multi-domain AI systems
- Large: 8-week PoCs, including end-to-end agentic workflows or full Generative AI accelerators
The goal is simple: reduce risk, compress timelines, and produce measurable results that mid-cap companies can deploy quickly.
A 100% AI-Certified Workforce—A First in the Industry
Earlier this year, CloudX became the first company to achieve full AI certification across its workforce. More than 300 employees have completed formal training and accreditation through platforms such as Udemy, Coursera, and Platzi.
Internally, this certification milestone has enabled CloudX to adopt a hybrid delivery model combining:
- Senior engineers
- Domain specialists
- AI agents integrated directly into the workflow
A key advantage for clients: they only pay for human engineering hours, while AI-generated outputs—accelerated documentation, automated testing, data extraction, or code generation—are included at no additional cost.
It’s a service model designed to improve speed and affordability simultaneously.
Closing the Mid-Market AI Gap
Vigna emphasizes that CloudX’s long-term vision centers on the businesses that often get overlooked in AI’s enterprise narrative.
“In America, mid-cap companies drive much of the economy, yet their AI maturity lags behind,” he said. “We’re committed to sharing our expertise to help organizations of all sizes harness the transformative power of AI.”
With the AI Lab Model, a fully AI-certified workforce, and an R&D-driven service approach, CloudX is positioning itself as a bridge between cutting-edge AI innovation and the mid-market organizations that urgently need it but lack the internal capabilities to adopt it quickly.
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